Book Image

PostgreSQL High Performance Cookbook

By : Chitij Chauhan, Dinesh Kumar
Book Image

PostgreSQL High Performance Cookbook

By: Chitij Chauhan, Dinesh Kumar

Overview of this book

PostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be able to secure it. As the world’s most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you’ll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms.
Table of Contents (19 chapters)
PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Studying hot and cold cache behavior


Database cache plays a vital role in the query performance. In this recipe, we will be discussing the hot and cold cache impact on the submitted SQL.

Getting ready

Cold cache is the behavior when the submitted SQL does not find its required data in memory, which leads to process to read the data from the disk into the memory. Hot cache is vice versa to the cold cache. If the SQL's required data is found in the memory, then it is a hot cache behavior, which will avoid the disk read operations, and also improves the query response time. The query performance is directly proportional to the amount of data we have in the memory. That is, if we can make less I/O operations then performance will improve automatically.

How to do it…

PostgreSQL provides a few extensions such as pg_prewarm, pg_buffercache, which will help us to deal with cache. So, let's create these two extensions as follows:

benchmarksql=# CREATE EXTENSION pg_buffercache ; 
CREATE EXTENSION...